Mohammad Reza

Nov 9, 2024 | medium.com | Mohammad Reza

Mohammad Mohsin Reza·Follow5 min read·--I love Golang because it has a powerful way to handle parallel tasks using goroutines. Today, I’ll demonstrate a beginner-friendly program using goroutines and channel. A goroutine is a lightweight, concurrent function that is efficient in terms of memory and performance. It is used to run tasks in parallel, allowing you to perform multiple operations at once without blocking each other.

Nov 6, 2024 | nature.com | Jin Yang |Mohammad Reza |Muhammad Mehedi Masud |Mara Ridhuan Che Abdul Rahman |Abdullah Al Mamun

Green transformation in the hotel industry represents an undeniable trend yet poses financial challenges, particularly in emerging economies. Expanding on the service quality-satisfaction-behavioral intention paradigm, this study investigates the influences of green emotional attachment, attitude towards green hotels, green image, green practice performance, word-of-mouth, guest satisfaction, functional value, and green experiential loyalty on green hotel premium payment. We collected 573 data points from China using purposive sampling. Partial least squares structural equation modeling was used to analyze the data. The findings revealed the positive effect of attitudes towards green hotels and green practices on guest satisfaction. The findings confirmed a positive correlation between guest satisfaction and willingness to pay a premium price for green hotels. This study also confirms the moderating effect of green experiential loyalty. Moreover, it recognizes gender, age, and income as partial moderating factors. These findings offer valuable insights into green hotel consumption research and assist practitioners in enhancing guest willingness to pay premiums and fostering sustainable industry development. The active implementation of strategies to boost guest satisfaction and willingness to pay premiums can further environmental conservation and support zero-carbon goals in the hospitality sector.

Oct 16, 2024 | arxiv.org | Mohammad Reza

Sep 20, 2024 | nature.com | Tong Hu |Abdullah Al Mamun |Mohammad Reza |Qing Yang |Mengling Wu

This study examines the factors influencing organic food consumption and willingness to pay premium prices in the context of an emerging economy. The extended attitudinal behavior-scenario model, rooted in Signaling theory, served as the foundation for the proposed model. A convenience sample of 470 young Chinese consumers was collected through online and offline surveys. Partial least squares structural equation modeling was used to test the hypothesized relationships. The results reveal that consumers’ environmental concern, environmental values, value perception, price sensitivity, and green promotion significantly affect their attitudes toward organic food. In addition, consumers’ health consciousness, value perception, price sensitivity, and green promotion demonstrate significant positive effects on their intention to consume organic food. Moreover, consumer attitude toward organic food substantially influences their intention to consume it. Similarly, consumer attitude, intention, and green psychological benefits significantly affect their willingness to pay premium prices for organic food. In addition, the indirect effects of consumer attitude toward organic food and intention to consume in the relationship between the factors and willingness to pay premium prices provide interesting findings. This study offers valuable guidance for policymakers in developing appropriate strategies to expand the organic food market and provides a solid foundation for future research on organic food consumption. This study suggests that policymakers should concentrate on enhancing awareness and knowledge of organic food, promoting organic food production, and prioritizing campaigns that emphasize the exceptional health advantages of organic food to encourage greater consumption.

Sep 14, 2024 | ascelibrary.org | Mohammad Reza

Get full access to this articleView all available purchase options and get full access to this article. Data Availability StatementAll data and models that support the findings of this study are available from the corresponding author upon reasonable request. ReferencesAlizadeh, B., A. G. Bafti, H. Kamangir, Y. Zhang, D. B. Wright, and K. J. Franz. 2021. “A novel attention-based LSTM cell post-processor coupled with Bayesian optimization for streamflow prediction.” J. Hydrol. 601 (Oct): 126526.